Results 1 to 10 of about 571,490 (277)

Measurement of the Aspherical Optical Surfaces with the Improved Phase Retrieval [PDF]

Micromachines, 2022
In order to verify the estimated wave-front ability of the phase retrieval, a method utilized in the measurement of the aspherical optical surfaces using the phase retrieval technology is described.
Xinxue Ma, Jianli Wang, Bin Wang, Xinyue Liu   +3 more
doaj   +4 more sources

Phase retrieval in holographic data storage by expanded spectrum combined with dynamic sampling method [PDF]

Scientific Reports, 2023
Phase retrieval in holographic data storage by expanded spectrum combined with dynamic sampling method is proposed, which serves to both reduce media consumption and to shorten the iterative number of phase code retrieval.
Ruixian Chen, Jianying Hao, Jinyu Wang, Yongkun Lin, Kun Wang, Dakui Lin, Xiao Lin, Xiaodi Tan   +7 more
doaj   +2 more sources

Measurement of Small-Slope Free-Form Optical Surfaces with the Modified Phase Retrieval [PDF]

Micromachines, 2022
In this paper, we demonstrate the use of the modified phase retrieval as a method for application in the measurement of small-slope free-form optical surfaces.
Xinxue Ma, Jianli Wang, Bin Wang, Xinyue Liu   +3 more
doaj   +2 more sources

3DMPR – a robust morphological approach for applying phase retrieval in proximity to highly attenuating objects in computed tomography [PDF]

Journal of Synchrotron Radiation
X-ray imaging is a fast, precise and non-invasive method of imaging which, when combined with computed tomography, provides detailed 3D rendering of samples.
James A. Pollock, L. C. P. Croton, K. S. Morgan, K. J. Crossley, M. J. Wallace, G. A. Buckley, S. B. Hooper, M. J. Kitchen   +7 more
doaj   +2 more sources

Metalenses phase characterization by multi-distance phase retrieval [PDF]

Light: Science & Applications
Metalens, characterized by their unique functions and distinctive physical properties, have gained significant attention for their potential applications.
Bowen Liu, Jialuo Cheng, Maoxiong Zhao, Jin Yao, Xiaoyuan Liu, Shaohu Chen, Lei Shi, Din Ping Tsai, Zihan Geng, Mu Ku Chen   +9 more
doaj   +2 more sources

Jitter-Robust Phase Retrieval Wavefront Sensing Algorithms [PDF]

Sensors, 2022
Phase retrieval wavefront sensing methods are now of importance for imaging quality maintenance of space telescopes. However, their accuracy is susceptible to line-of-sight jitter due to the micro-vibration of the platform, which changes the intensity ...
Liang Guo, Guohao Ju, Boqian Xu, Xiaoquan Bai, Qingyu Meng, Fengyi Jiang, Shuyan Xu   +6 more
doaj   +2 more sources

Eikonal Phase Retrieval: unleashing the potential of fourth-generation sources for enhanced propagation-based tomography on biological samples [PDF]

Journal of Synchrotron Radiation
The evolution of synchrotrons towards higher brilliance beams has increased the possible sample-to-detector propagation distances for which the source confusion circle does not lead to geometrical blurring.
Alessandro Mirone, Joseph Brunet, Theresa Urban, Hector Dejea, Leandre Admans, Renaud Boistel, Morgane Sowinski, Pierre Paleo, Henry Payno, Stijn E. Verleden, Camille Berruyer, Elodie Boller, Claire L. Walsh, Peter D. Lee, Paul Tafforeau   +14 more
doaj   +2 more sources

Complete phase retrieval of photoelectron wavepackets

New Journal of Physics, 2020
Coherent, broadband pulses of extreme ultraviolet light provide a new and exciting tool for exploring attosecond electron dynamics. Using photoelectron streaking, interferometric spectrograms can be generated that contain a wealth of information about ...
L Pedrelli, P D Keathley, L Cattaneo, F X Kärtner, U Keller   +4 more
doaj   +3 more sources

Lensless Three-Dimensional Quantitative Phase Imaging Using Phase Retrieval Algorithm [PDF]

Journal of Imaging, 2020
Quantitative phase imaging (QPI) techniques are widely used for the label-free examining of transparent biological samples. QPI techniques can be broadly classified into interference-based and interferenceless methods.
Vijayakumar Anand, Tomas Katkus, Denver P. Linklater, Elena P. Ivanova, Saulius Juodkazis   +4 more
doaj   +2 more sources

Sub-Millisecond Phase Retrieval for Phase-Diversity Wavefront Sensor [PDF]

Sensors, 2020
We propose a convolutional neural network (CNN) based method, namely phase diversity convolutional neural network (PD-CNN) for the speed acceleration of phase-diversity wavefront sensing.
Yu Wu, Youming Guo, Hua Bao, Changhui Rao   +3 more
doaj   +2 more sources